HIGHLIGHTS
- who: Paulo Neves from the (UNIVERSITY) have published the article: Global reactivity models are impactful in industrial synthesis applications, in the Journal: (JOURNAL)
- what: The model is benchmarked on an open-source dataset against a state-of-the-art synthesis focused BERT showing a near 20-point improvement in r2 score. This approach has led to state-ofthe-art results not just in the natural language processing field but also in many other fields such as image prediction tasks. Due to this limitation, the authors attempt to tackle the global yield prediction challenge as a . . .
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